Data Engineering Podcast

OCTOBER 15, 2021

Are you bored with writing scripts to move data into SaaS tools like Salesforce, Marketo, or Facebook Ads? Hightouch is the easiest way to sync data into the platforms that your business teams rely on. The data you’re looking for is already in your data warehouse and BI tools. No more scripts, just SQL.

Metadata 100

Metadata BI Data Warehouse Government 100

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Piperr.io — Pre-built data pipelines across enterprise stakeholders, from IT to analytics, tech, data science and LoBs.

Consulting 121

Consulting Machine Learning Data Science Data Pipeline 121

Striim

SEPTEMBER 11, 2024

The approach to this processing depends on the data pipeline architecture, specifically whether it employs ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform) processes. This method is advantageous when dealing with structured data that requires pre-processing before storage. In what format will the final data be stored?

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

AltexSoft

MARCH 14, 2023

As the volume and complexity of data continue to grow, organizations seek faster, more efficient, and cost-effective ways to manage and analyze data. In recent years, cloud-based data warehouses have revolutionized data processing with their advanced massively parallel processing (MPP) capabilities and SQL support.

IT 59

IT Data Warehouse Data Governance Data Lake 59

Databand.ai

AUGUST 30, 2023

Data Orchestration Data orchestration refers to the coordination and management of data workflows, from data ingestion to data processing and analysis. DataOps tools should offer powerful data orchestration capabilities, allowing organizations to build, schedule, and monitor data workflows with ease.

Data Cleanse 52

Data Cleanse Data Pipeline Data Ingestion Data Validation 52

Knowledge Hut

MARCH 28, 2024

Role Level Advanced Responsibilities Design and architect data solutions on Azure, considering factors like scalability, reliability, security, and performance. Develop data models, data governance policies, and data integration strategies. Familiarity with ETL tools and techniques for data integration.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Monte Carlo

JULY 27, 2023

Data quality engineers also need to have experience operating in cloud environments and using many of the modern data stack tools that are utilized in building and maintaining data pipelines. 78% of job postings referenced at least part of their environment was in a modern data warehouse, lake, or lakehouse.

Engineering 52

Engineering Healthcare Data Warehouse Scala 52

Monte Carlo

MAY 25, 2023

Automated data orchestration removes data bottlenecks by eliminating the need for manual data preparation, enabling analysts to both extract and activate data in real-time. Improved data governance. Automating data workflows. Faster time to insights for data analysts. What is Prefect?

Data Pipeline 52

Data Pipeline Data Workflow Data Data Governance 52

Monte Carlo

SEPTEMBER 20, 2022

Here’s how Prefect , Series B startup and creator of the popular data orchestration tool, harnessed the power of data observability to preserve headcount, improve data quality and reduce time to detection and resolution for data incidents. But a growing company means growing data needs. Scaling data governance.

Big Data 52

Big Data Data Warehouse Data Data Governance 52

Monte Carlo

MAY 14, 2024

Delta Lake : Released by Databricks in 2019, Delta Lake was created to bring reliability and robustness to data lakes, incorporating ACID (Atomicity, Consistency, Isolation, Durability) transactions into Apache Spark to maintain data integrity across complex transformations and updates.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

Monte Carlo

MARCH 24, 2023

Sure, terabytes or even petabytes of data are involved, but generally it’s not the size of the data but everything surrounding the data–workflows, access permissions, layers of dependencies–that pose data migration risks. Data governance, compliance and access management Moving a table is relatively simple.

Data Warehouse 52

Data Warehouse AWS Cloud Database 52

Ascend.io

DECEMBER 19, 2023

You’re extracting and loading data first, then transforming it in Snowflake’s cloud data warehouse. Real or Near-Real Time Processing: If real-time or near-real-time data processing is critical, some ETL tools are specifically designed to handle streaming data more efficiently than traditional data warehouse operations.

ETL Tools 52

ETL Tools IT Data Pipeline Data Warehouse 52

Knowledge Hut

NOVEMBER 2, 2023

The goal is to create a data pipeline that collects and analyses surf data from the Surfline API before storing it in a Postgres data warehouse. Data Aggregation Working with a sample of big data allows you to investigate real-time data processing, big data project design, and data flow.

Data Engineering 52

Data Engineering Data Engineer Project Coding 52

Monte Carlo

JUNE 14, 2023

The modern data stack era , roughly 2017 to present data, saw the widespread adoption of cloud computing and modern data repositories that decoupled storage from compute such as data warehouses, data lakes, and data lakehouses. They also recently acquired Apache Flink , another streaming solution.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Databand.ai

DECEMBER 29, 2022

Follow Ravit on LinkedIn 5) Priya Krishnan Head of Product Management, Data and AI at IBM Priya is an innovative, customer-focused, data-driven product executive with over 16 years of experience in global product management, strategy, and GTM roles to commercialize and monetize in-demand enterprise solutions.

BI 52

BI Consulting Data Science Data Governance 52

Edureka

JULY 3, 2024

You can extract data efficiently and once gathered, you can transform this data using built-in or custom transformations, and then load it into your desired destination. For optimum data consistency and reliability, devs can incorporate Delta Lake within Databricks workflows, allowing for ACID transactions on data lakes.

Pipeline-centric 52

Pipeline-centric Data Lake Database-centric Data Pipeline 52

Edureka

JULY 5, 2024

It effectively works with Tableau Desktop and Tableau Server to allow users to publish bookmarked, cleaned-up data sources that can be accessed by other personnel within the same organization. This capability underpins sustainable, chattel data cleansing practices requisite to data governance.

Data Preparation 40

Data Preparation Process BI ETL Tools 40

phData: Data Engineering

JANUARY 3, 2022

This commonly introduces: Database or Data Warehouse API/EDI Integrations ETL software Business intelligence tooling By leveraging off-the-shelf tooling, your company separates disciplines by technology. One of our customers needed the ability to export/import data between systems and create data products from this source data.

IT 52

IT AWS Software Engineering Software Engineer 52

Data Engineering Weekly

DECEMBER 18, 2024

DEW published The State of Data Engineering in 2024: Key Insights and Trends , highlighting the key advancements in the data space in 2024. We witnessed the explosive growth of Generative AI, the maturing of data governance practices, and a renewed focus on efficiency and real-time processing. But what does 2025 hold?

Data Engineering 113

Data Engineering Data Engineer Engineering Data Lake 113